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大语言模型
大型语言模型（large language model，简称LLM）是一种专为理解、生成和处理人类语言而设计的深度学习模型。这些模型通过在海量文本数据（如书籍、文章、网页等）上进行训练，学习语言的模式、语境和语义。大型语言模型广泛应用于聊天机器人、代码生成、翻译、文本摘要等领域，是生成式人工智能的核心技术，通常基于Transformer架构构建。
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
AI Analytics and Knowledge Engine for RAG over large-scale, heterogeneous data. - The only MCP Server you'll ever need
Self-hosted AI coding assistant
An open-source RAG-based tool for chatting with your documents.
Open-source search and retrieval database for AI applications.
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
🚀 The fast, Pythonic way to build MCP servers and clients
